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NVIDIA is searching for an exceptional FAE with a focus on networking and system design for datacenter and edge computing. Your primary responsibilities will be the customer technical engagement for NVIDIA networking products for computing systems targeted at a wide range of deployments from the datacenter to the edge. You will be working cross functionally with our organizations as well as ensuring a positive experience for external customers. You should be comfortable working in a multifaceted environment and have experience working with stand-alone servers, clusters and embedded systems. You will use your people skills and your technical knowledge to provide design-in integration support for our networking and GPU products in OEM datacenter and edge servers. Excellent interpersonal skills and the ability to work independently as well as cross functionally are essential. Experience with Ethernet and PCIe are required, additional knowledge of Infiniband and deep learning is a plus, as well as the ability to pick up new technologies and skills.
What you’ll be doing:
Be a technical specialist on networking and GPU products directly supporting program management and working closely with the team to secure timely releases.
Drive the development and execution of functional, regression and stress testing for next generation networking and GPU technologies in the datacenter and edge computing.
Automate the end-to-end scenarios by integrating various components into an overall architecture so that they can be packaged and deployed efficiently.
Work with cross-functional teams in testing and development and contribute actively to individual test design specification and verification.
Provide onsite support to solve problems in hardware and software.
Provide technical and sales training to Nvidia partners.
Establish strong relationships and communication channels with internal teams.
What we need to see:
BS Engineering, Mathematics, Physics, or Computer Science (or equivalent experience).
3+ years of work-related experience in testing and integrating hardware and software into server OEMs.
Software Engineering (QA methodologies)
Solid understanding of Linux/Unix, Windows, VMWare ESXi OS.
Ability to script in Python, Bash and other shell languages.
Experience in developing automation frameworks.
Excellent troubleshooting and debugging skills.
Experience with software development hardware and software lifecycle, bug tracking and version control systems.
Capable of working in a constantly evolving environment without losing focus.
Strong analytical and problem-solving skills.
Strong time-management and organization skills for coordinating multiple initiatives, priorities, and implementations of new technology and products into very complex projects.
Expert written and oral communication skills in English with the ability to effectively collaborate with management and engineering.
Ways to stand out from the crowd:
Proficient in InfiniBand, GPU, ARM development, and embedded Linux systems with strong C/C++ and Pythonprogramming skills.
Knowledgeablein communicationlibraries like OpenMPI, SHMEM, UCX, and hardwaredesign includingPCIe, Ethernet, and various communication protocols.
Experienced in workingwith OEMs in DataCenter, HPC, or Edgecomputing environments.
Familiar with DOCA, MLNX_OFED drivers, and LinkX cables.
Holds an advanced degree and has experience in machinelearning environments.
You will also be eligible for equity and .
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